Skip to main content
guest
Join
|
Help
|
Sign In
AP-Statistics-Personal
Home
guest
|
Join
|
Help
|
Sign In
AP-Statistics-Personal
Wiki Home
Recent Changes
Pages and Files
Members
Favorites
20
All Pages
20
home
Ch 1 Exploring Data
Ch 10 Introduction to Inference
Ch 11 Inference for Means
Ch 12 Inference for Proportions
Ch 13 Inference for Distributions
Ch 14 Inference for Regression
Ch 2 Exploring Data
Ch 3 Examining Relationships
Ch 4 More on Two-Variable Data
Ch 5 Producing Data
Ch 6 Probability
Ch 7 Random Variables
Ch 8 Binomial & Geometric Random Variables
Ch 9 Sampling Distributions
GeoGebra - Probability Calculator
Glossary
Normal
Outline
Add
Add "All Pages"
Done
Ch 11 Inference for Means
Edit
0
2
…
0
Tags
No tags
Notify
RSS
Backlinks
Source
Print
Export (PDF)
Home
>
Outline
> Chapter
11
Chapter 11: Inference for Means (Total Time: 9 Days)
• Inference for the Mean of a Population
o What to do when SIGMA is unknown – t Comparing two Means
KA 44:
Z-statistics vs. T-statistics
o Confidence intervals and significance tests with t
KA 47:
T-Statistic Confidence Interval
o Matched pairs – a special case of one-sample t
o Robustness of t procedures; calculator use
• Comparing Two Means
o Matched pairs vs. two independent samples
o Comparing two population means
o More accurate degrees of freedom from technology
KA 49:
Variance of Differences of Random Variables
KA 50:
Difference of Sample Means Distribution
KA 51:
Confidence Interval of Difference of Means
KA 52:
Clarification of Confidence Interval of Difference of Means
KA 53:
Hypothesis Test for Difference of Means
Javascript Required
You need to enable Javascript in your browser to edit pages.
help on how to format text
Turn off "Getting Started"
Home
...
Loading...
Chapter 11: Inference for Means (Total Time: 9 Days)
• Inference for the Mean of a Population
o What to do when SIGMA is unknown – t Comparing two Means
KA 44: Z-statistics vs. T-statistics
o Confidence intervals and significance tests with t
KA 47: T-Statistic Confidence Interval
o Matched pairs – a special case of one-sample t
o Robustness of t procedures; calculator use
• Comparing Two Means
o Matched pairs vs. two independent samples
o Comparing two population means
o More accurate degrees of freedom from technology
KA 49: Variance of Differences of Random Variables
KA 50: Difference of Sample Means Distribution
KA 51: Confidence Interval of Difference of Means
KA 52: Clarification of Confidence Interval of Difference of Means
KA 53: Hypothesis Test for Difference of Means